Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms

Detalhes bibliográficos
Autor(a) principal: SAULO DOMINGOS DE SOUZA PEDRO
Data de Publicação: 2019
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7758847
id BRCRIS_d0a8f250e84a926f3239d7c03fc5259a
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
title Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
spellingShingle Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
bootstrap learning
SAULO DOMINGOS DE SOUZA PEDRO
title_short Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
title_full Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
title_fullStr Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
title_full_unstemmed Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
title_sort Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms
topic bootstrap learning
publishDate 2019
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7758847
author_role author
author SAULO DOMINGOS DE SOUZA PEDRO
author_facet SAULO DOMINGOS DE SOUZA PEDRO
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/4984413906818753
dc.contributor.advisor1.fl_str_mv ESTEVAM RAFAEL HRUSCHKA JUNIOR
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2097340857065853
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE SÃO CARLOS
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE SÃO CARLOS
instname_str UNIVERSIDADE FEDERAL DE SÃO CARLOS
dc.publisher.program.fl_str_mv CIÊNCIA DA COMPUTAÇÃO
dc.description.course.none.fl_txt_mv CIÊNCIA DA COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESConversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning AlgorithmsConversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning AlgorithmsConversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning AlgorithmsConversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning AlgorithmsConversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning AlgorithmsConversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning AlgorithmsConversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithmsbootstrap learning2019doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7758847authorSAULO DOMINGOS DE SOUZA PEDROhttp://lattes.cnpq.br/4984413906818753ESTEVAM RAFAEL HRUSCHKA JUNIORhttp://lattes.cnpq.br/2097340857065853UNIVERSIDADE FEDERAL DE SÃO CARLOSUNIVERSIDADE FEDERAL DE SÃO CARLOSUNIVERSIDADE FEDERAL DE SÃO CARLOSCIÊNCIA DA COMPUTAÇÃOCIÊNCIA DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv PEDRO, SAULO DOMINGOS DE SOUZA. Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms. 2019. Tese.
dc.identifier.citation.fl_str_mv PEDRO, SAULO DOMINGOS DE SOUZA. Conversing Learning as a Crowd-Powered Approach to Diminish the Effects of Semantic Drift in Bootstrap Learning Algorithms. 2019. Tese.
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